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Devops Engineer Remote Jobs in Saint Paul, MN (NOW HIRING)

Centstone

Database Developer

Minneapolis, MN · Remote

Database Developer Location: Remote (Local to Minnesota Preferred) Employment Type: Contract ... Experience with Azure DevOps, GitHub, or Jenkins. * Experience supporting enterprise applications ...

Noblesoft Technologies

Cloud Data Engineer

Minneapolis, MN · Remote

$57 - $76.25/hr

Job Role - Cloud Data Engineer Location - Minneapolis, MN(Remote) Job Details: * Minimum of 5+ ... Proficiency in DevOps and CI/CD practices using GitActions. * * Experience with Agile methodologies.

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Devops Engineer Remote information

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$16

$61

$88

How much do devops engineer remote jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for devops engineer remote in Saint Paul, MN is $61.73, according to ZipRecruiter salary data. Most workers in this role earn between $51.73 and $70.87 per hour, depending on experience, location, and employer.

What is a remote DevOps engineer?

As a remote DevOps engineer, you help manage the development of software for use on a company network system. In this role, you work from home using the phone, email, video chat, or other methods of communication to stay in touch with other developers and users throughout the lifecycle of each product. You typically work with a team to ensure rapid and consistent development. This is a relatively new term, but in general, DevOps focuses on having operations and development engineers participate in a full-service lifecycle to help support end-users and ensure the software becomes the best possible product.

What is a remote DevOps engineer?

DevOps Engineers (Remote) are IT professionals who collaborate with development and operations teams to automate, streamline, and improve software development and deployment processes from remote locations. They focus on integrating code, managing infrastructure, monitoring systems, and ensuring continuous integration and delivery (CI/CD) pipelines are efficient and reliable. Working remotely, they use cloud-based tools and platforms to manage servers, deploy applications, and maintain high system reliability without being physically present in an office. Their role is crucial in accelerating development cycles, reducing errors, and ensuring seamless collaboration between dispersed teams.

How to become a remote DevOps engineer?

To become a remote DevOps engineer, you typically need at least a bachelor’s degree in software engineering, information technology, or computer science and relevant work experience. You must also have familiarity with coding and IT protocols, as well as knowledge of infrastructure code, agile workflow processes, and the various roles that software and IT play in the product life cycle. Because this is a work from home position, you need to have strong time management skills, the ability to work independently, and reliable internet and phone connection.

What are the key skills and qualifications needed to thrive as a remote DevOps engineer?

To thrive as a Remote DevOps Engineer, you need strong skills in software development, infrastructure management, automation, and a solid understanding of cloud platforms, often backed by a relevant degree or certifications like AWS Certified DevOps Engineer. Familiarity with tools such as Jenkins, Docker, Kubernetes, Terraform, and CI/CD pipelines is typically required. Excellent problem-solving, collaboration, and communication skills are crucial, especially when working remotely with distributed teams. These skills and qualities are essential for ensuring seamless deployment, system reliability, and effective teamwork in dynamic, cloud-based environments.

How does a remote DevOps engineer typically collaborate with development and IT teams?

As a remote DevOps Engineer, collaboration is often achieved through a mix of communication tools like Slack, Jira, and video conferencing platforms. You'll participate in regular stand-ups, planning meetings, and code reviews to stay aligned with both development and IT operations teams. Effective documentation and clear communication are essential, as you'll often troubleshoot issues or update CI/CD pipelines asynchronously. Remote DevOps Engineers also frequently use shared dashboards and monitoring tools to ensure transparency and rapid response to incidents.

Are Devops engineers still in demand?

Devops engineers remain in high demand due to the ongoing need for automation, continuous integration, and cloud infrastructure management. Organizations seek professionals skilled in tools like Docker, Kubernetes, and cloud platforms to improve deployment efficiency and reliability.

Can a Devops Engineer Remote work remotely?

Yes, many Devops Engineers can work remotely, as the role primarily involves managing infrastructure, automation, and cloud services that can be accessed online. Remote work is common in this field, especially with skills in tools like Docker, Kubernetes, and cloud platforms such as AWS or Azure. However, some positions may require on-site presence for collaboration or specific hardware access.

Is 40 too old to learn a Devops Engineer Remote?

Age is not a barrier to becoming a Devops Engineer. Many professionals successfully transition into Devops roles at various ages by gaining skills in automation, scripting, cloud platforms, and tools like Docker and Kubernetes, often through online courses and certifications. Employers value skills and experience over age, and continuous learning is common in the tech industry.
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Devops Engineer Remote jobs near you
Infographic showing various Devops Engineer Remote job openings in Saint Paul, MN as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $127,341 per year, or $61.2 per hour.

Lead Machine Learning Engineer - Remote Eligible

General Mills

Minneapolis, MN • On-site, Remote

$107K - $140K/yr

Full-time

Posted 24 days ago

General Mills rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

70th of 444 rated food and drinks producers

Job description

COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.
JOB OVERVIEW:
General Mills is looking for a Lead ML Engineer. In this role, you are a technical lead within the AIA team focused on delivering the migration of machine learning-based solutions and agents from concept to production-level operational excellence. You will deliver initiatives such as building scalable, resilient, and automated solutions in GCP, Glean, UnifyApps, and other platforms to ensure that agents and models deliver on organizational objectives. You will professionally engineer solutions, taking into account notions of risk and effective/efficient use of computational resources.
KEY ACCOUNTABILITIES:
As a Lead ML Engineer, you will play a pivotal role in the overall success of high-priority projects including:
  • Leading complex machine learning and agentic projects involving multiple resources including full accountability for stakeholder management and expectation setting, project scoping and planning, requirements elicitation, and overall project success while adhering to timeline/resource constraints. Crucially, having the ability to provide stakeholders with a range of options for solving a stated business problem is needed.
  • Playing a key role in investigating, utilizing, and advocating for the use of generative and agentic tools to enhance the effectiveness of your team.
  • Ability to effectively integrate an AI solution into a larger, complex system potentially comprising many third-party applications within the General Mills ecosystem.
  • Research and operationalize technology and processes necessary to scale ML models and agentic solutions.
  • Recommend model changes to optimize cloud spend.
  • Automate monitoring of models both for failures and degradation.
  • Automate monitoring of data sources to identify issues and/or data changes.
  • Automate ML pipelines, logging of model usage, and predictions provided.
  • Improve ML pipeline documentation and understandability.
  • Harden code and processes to reduce or prevent failures.
  • Improve logging and diagnostic processes.
  • Lead the investigation and resolution of production issues, perform root cause analysis, and recommend changes to reduce/eliminate re-occurrence of issues.
  • Optimize deployment and change control processes for models.
  • Create and operationalize quality assurance processes for ML models.

MINIMUM QUALIFICATIONS:
  • Knowledge of project/program management terminology/concepts and the ability to leverage this knowledge to ensure the success of initiatives.
  • 4+ years professional experience as a software engineer, data scientist, or AI Engineer.
  • Strong background in statistical modeling including ARIMA, regression, and Random Forest models.
  • Background in optimization problems is strongly preferred.
  • Track record of producing machine learning models and agentic solutions at scale.
  • Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities.
  • Passionate about agile software processes, data-driven development, reliability, and systematic experimentation.
  • Passion for learning new technologies and solving challenging problems.
  • Bachelors Degree
  • Comfort working with a Windows computer and Microsoft Office Suite
  • Comfort working with international partners and potentially flexing your calendar to meet the time zone needs.

PREFERRED QUALIFICATIONS:
  • Bachelors Degree in Computer Science, Engineering, IT or other related fields
  • 7+ years of related experience as a software engineer, data scientist or AI Engineer
  • Experience with deep code or custom code agentic frameworks (LangChain or LangGraph)
  • Experience productionizing Optimization Models
  • Experience with factory systems
  • Experience with real-time pipelines

ADDITIONAL CONSIDERATIONS:
  • We are open to remote employees within the United States with a preference for talent in the Minneapolis market.
  • International relocation or international remote working arrangements (outside of the US) will not be considered.
  • Applicants for this position must be currently authorized to work in the United States on a full-time basis. General Mills will not sponsor applicants for this position for work visas.

ELIGIBILITY
Applicants must meet a minimum 18-year age qualification.
EQUAL OPPORTUNITY EMPLOYER (EOE)
General Mills is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital or familial status, status regarding public assistance, or membership or activity in a local human rights commission.
REASONABLE ACCOMODATION REQUEST
If you need to request an accommodation during the application or hiring process, please fill out our online accommodation request form by following this link: Accommodation Request.

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About General Mills

Sourced by ZipRecruiter

General Mills, Inc. manufactures some of the most beloved foods in the world, including Cheerios and Lucky Charms, Nature Valley granola bars, Totino's pizza rolls, and Yoplait yogurt. Blue Buffalo became part of General Mills in 2018, so even your pets love us too.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1928

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